Retrospective Study
Copyright ©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Apr 28, 2024; 30(16): 2233-2248
Published online Apr 28, 2024. doi: 10.3748/wjg.v30.i16.2233
Preoperative prediction of perineural invasion of rectal cancer based on a magnetic resonance imaging radiomics model: A dual-center study
Yan Liu, Bai-Jin-Tao Sun, Chuan Zhang, Bing Li, Xiao-Xuan Yu, Yong Du
Yan Liu, Bai-Jin-Tao Sun, Chuan Zhang, Bing Li, Xiao-Xuan Yu, Department of Radiology, The Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Sichuan Province, China
Yong Du, Department of Radiology, The Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Sichuan Province, China. duyong@nsmc.edu.cn
Author contributions: Liu Y data acquisition and analysis, drafting and writing of the manuscript; Sun BJT data collection and data analysis; Zhang C, Li B and Yu XX language editing and revisions to the manuscript; Du Y work concept or design and important revisions to the manuscript; all authors have read and approve the final manuscript.
Institutional review board statement: This study was reviewed and approved by the Ethics Committee of the Affiliated Hospital of North Sichuan Medical College.
Informed consent statement: Patients were not required to give informed consent to the study because the analysis used anonymous clinical data that were obtained after each patient agreed to treatment by written consent.
Conflict-of-interest statement: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Corresponding author: Yong Du, MD, Professor, Department of Radiology, The Affiliated Hospital of North Sichuan Medical College, No. 1 Maoyuannan Road, Nanchong 637000, Sichuan Province, China. duyong@nsmc.edu.cn
Received: January 2, 2024
Peer-review started: January 2, 2024
First decision: January 31, 2024
Revised: February 8, 2024
Accepted: March 20, 2024
Article in press: March 20, 2024
Published online: April 28, 2024
Processing time: 114 Days and 17.6 Hours
Core Tip

Core Tip: We constructed radiomics predictive models, clinical predictive model and clinical-radiomics (CR) model based on preoperative magnetic resonance imaging images of rectal cancer (RC), and independent clinical risk factors, to predict the preoperative perineural invasion (PNI) status of RC patients. The reliability and repeatability of the established predictive models were analyzed using internal and external validation groups. The CR model had the best stable neutral performance in both the internal and external validation groups. Therefore, the CR model was able to predict the PNI status of RC noninvasively before surgery, thereby providing support for the individualized treatment of RC patients.